ABSTRACT
Data warehousing has been the most costly systems development in the history of financial services. This chapter describes how Distributed Integration solves some data integration problems that data warehousing projects do not always successfully address. It shows how Distributed Integration leverages existing desktop and intranet technologies to deliver this integrated data (and analytics) to large communities of internal and external users at a very reasonable price point. Distributed Integration is a new way to integrate global financial data, analytics, and applications and quickly distribute them to a large community of users. Because the server is capable of handling complex metadata and, by extension, almost any sort of data transformation, Distributed Integration is particularly well suited to address financial institutions’ need for integrating time series and relational data. The Distributed Integration architecture is optimized for the rapid storage, transmission, and analysis of time-centric data as part of an integrated systems environment.
